DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt
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students and data scientists
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DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
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Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
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Large database of examples and code snippets https://datamelt.org/code/
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Students at universities and data scientists.
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Java (JDK any new new release including JDK20)
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
Based on our record, Visual Studio Code seems to be more popular. It has been mentiond 1011 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A code editor (VS Code is my go-to IDE), but feel free to use any code editor you're comfortable with. - Source: dev.to / about 14 hours ago
First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin. - Source: dev.to / 1 day ago
Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know. - Source: dev.to / 3 days ago
Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration. - Source: dev.to / 7 days ago
In VSCode for example this can be easily done by adding the following .vscode/launch.json file:. - Source: dev.to / 7 days ago
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